3378 search results - page 484 / 676 » Learning in Friedberg Numberings |
193
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KDD
2009
ACM
16 years 7 months ago
2009
ACM
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
192
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CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
Higher order spatial features, such as doublets or
triplets have been used to incorporate spatial information
into the bag-of-local-features model. Due to computational
limits, ...
165
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ICCV
2003
IEEE
16 years 8 months ago
2003
IEEE
Example-based methods are effective for parameter estimation problems when the underlying system is simple or the dimensionality of the input is low. For complex and high-dimensio...
158
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ICCV
1999
IEEE
16 years 8 months ago
1999
IEEE
We show how to use a sampling method to find sparsely clad people in static images. People are modeled as an assembly of nine cylindrical segments. Segments are found using an EM ...
128
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ICIP
2005
IEEE
16 years 8 months ago
2005
IEEE
In this paper we discuss a general framework for feature selection based on nonparametric statistics. The three stage approach we propose is based on the assumption that the avail...